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Automatic segmentation of cerebral infarcts in follow-up computed tomography images with convolutional neural networks

BACKGROUND AND PURPOSE: Infarct volume is a valuable outcome measure in treatment trials of acute ischemic stroke and is strongly associated with functional outcome. Its manual volumetric assessment is, however, too demanding to be implemented in clinical practice. OBJECTIVE: To assess the value of...

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Detalles Bibliográficos
Autores principales: Sales Barros, Renan, Tolhuisen, Manon L, Boers, Anna MM, Jansen, Ivo, Ponomareva, Elena, Dippel, Diederik W J, van der Lugt, Aad, van Oostenbrugge, Robert J, van Zwam, Wim H, Berkhemer, Olvert A, Goyal, Mayank, Demchuk, Andrew M, Menon, Bijoy K, Mitchell, Peter, Hill, Michael D, Jovin, Tudor G, Davalos, Antoni, Campbell, Bruce C V, Saver, Jeffrey L, Roos, Yvo B W E M, Muir, Keith W., White, Phil, Bracard, Serge, Guillemin, Francis, Olabarriaga, Silvia Delgado, Majoie, Charles B L M, Marquering, Henk A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476369/
https://www.ncbi.nlm.nih.gov/pubmed/31871069
http://dx.doi.org/10.1136/neurintsurg-2019-015471